Fowl, L.[Liam]
* 2022: Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective
* 2022: Poisons that are learned faster are more effective
Fowler, A.D.
* 1950: Quality Rating of Television Images
Fowler, C.
* 2010: Intelligent Sensor Information System For Public Transport: To Safely Go ...
Fowler, G.
* 1983: Efficient Graph Automorphism by Vertex Partitioning
* 2020: Identification of Tyre and Plastic Waste from Combined Copernicus Sentinel-1 and -2 Data
Includes: Fowler, G. Fowler, G.[Gillian]
Fowler, J.
* 2001: Image-adaptive Watermark Based on a Redundant Wavelet Transform, An
* 2023: EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification
Includes: Fowler, J. Fowler, J.[Jennifer]
Fowler, J.E.
* 1993: Image coding using differential vector quantization
* 1995: Real-Time Video Compression Using Differential Vector Quantization
* 1998: Generalized Threshold Replenishment: An Adaptive Vector Quantization Algorithm for the Coding of Nonstationary Sources
* 1998: Video coding using perceptually weighted vector zerotrees and adaptive vector quantization
* 2000: Adaptive Vector Quanitzation for Efficient Zerotree-Based Coding of Video with Nonstationary Statistics
* 2000: Wavelet-based Coding of Three-dimensional Oceanographic Images Around Land Masses
* 2002: Mesh-based motion estimation and compensation in the wavelet domain using a redundant transform
* 2003: 3D Video Coding Using Redundant-Wavelet Multihypothesis and Motion-Compensated Temporal Filtering
* 2003: Multihypothesis motion compensation in the redundant wavelet domain
* 2003: Shape-adaptive tarp coding
* 2004: Shape-adaptive coding using binary set splitting with k-d trees
* 2005: Joint Source-Channel coding of scalable video with partially coded index assignment using Reed-Muller codes
* 2005: Redundant Discrete Wavelet Transform and Additive Noise, The
* 2005: Redundant-Wavelet Watermarking with Pixel-Wise Masking
* 2005: Video Coding with Mc-Ezbc and Redundant-Wavelet Multihypothesis
* 2006: 3-D video coding with redundant-wavelet multihypothesis
* 2006: Joint Source-Channel Coding With Partially Coded Index Assignment for Robust Scalable Video
* 2006: Motion Compensation Via Redundant-Wavelet Multihypothesis
* 2006: Motion estimation and compensation in the redundant-wavelet domain using triangle meshes
* 2006: Video Coding with Wavelet-Domain Conditional Replenishment and Unequal Error Protection
* 2007: Graph-Cut Rate Distortion Algorithm for Contourlet-Based Image Compression
* 2007: Overview on Wavelets in Source Coding, Communications, and Networks, An
* 2007: Rotated Constellations for Video Transmission Over Rayleigh Fading Channels
* 2007: Video Coding Using a Complex Wavelet Transform and Set Partitioning
* 2009: Block compressed sensing of images using directional transforms
* 2009: Compressive-Projection Principal Component Analysis
* 2009: On the Impact of Atmospheric Correction on Lossy Compression of Multispectral and Hyperspectral Imagery
* 2010: Compressed sensing of multiview images using disparity compensation
* 2011: Decoder-side dimensionality determination for compressive-projection principal component analysis of hyperspectral data
* 2012: Anomaly Detection and Reconstruction From Random Projections
* 2012: Information Fusion in the Redundant-Wavelet-Transform Domain for Noise-Robust Hyperspectral Classification
* 2012: Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis
* 2013: Classification and Reconstruction From Random Projections for Hyperspectral Imagery
* 2013: Motion-compensated compressed-sensing reconstruction for dynamic MRI
* 2014: Compressive data fusion for multi-sensor image analysis
* 2014: Compressive pushbroom and whiskbroom sensing for hyperspectral remote-sensing imaging
* 2014: Decision Fusion in Kernel-Induced Spaces for Hyperspectral Image Classification
* 2014: Nearest Regularized Subspace for Hyperspectral Classification
* 2014: Reconstruction of Hyperspectral Imagery From Random Projections Using Multihypothesis Prediction
* 2014: Sparse Graph-Based Discriminant Analysis for Hyperspectral Imagery
* 2015: Hyperspectral classification using a composite kernel driven by nearest-neighbor spatial features
* 2016: Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Spectral-Spatial Dimensionality Reduction of Hyperspectral Imagery
* 2019: Wavelet-Domain Low-Rank/Group-Sparse Destriping for Hyperspectral Imagery
* 2021: Hyperspectral Restoration and Fusion With Multispectral Imagery via Low-Rank Tensor-Approximation
Includes: Fowler, J.E. Fowler, Jr., J.E. Fowler, J.E.[James E.]
44 for Fowler, J.E.
Fowler, R.J.
* 1979: Automatic Extraction of Irregular Network Digital Terrain Models
Fowler, S.[Sam]
* 2018: Human-Centric Scene Understanding from Single View 360 Video
* 2021: Acoustic Room Modelling Using 360 Stereo Cameras
Fowles, B.J.
* 1984: Some Experience in the Real-Time Processing of Handwriting
Fowlkes, A.L.[Ashley L.]
* 2009: Mining aggregates of over-the-counter products for syndromic surveillance
Fowlkes, C.[Charless]
* 2019: Task2Vec: Task Embedding for Meta-Learning
* 2019: Weakly-Supervised Action Localization With Background Modeling
* 2020: Resisting Large Data Variations via Introspective Transformation Network
* 2021: Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
* 2022: Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation, The
* 2022: Geometric Pose Affordance: Monocular 3d Human Pose Estimation with Scene Constraints
* 2022: SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation
* 2022: Task Adaptive Parameter Sharing for Multi-Task Learning
* 2023: Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos
* 2023: GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding
* 2023: Guided Recommendation for Model Fine-Tuning
Includes: Fowlkes, C.[Charless] Fowlkes, C.
11 for Fowlkes, C.
Fowlkes, C.C.[Charless C.]
* 2001: Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics, A
* 2001: Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms, A
* 2001: Efficient Spatiotemporal Grouping Using the Nyström Method
* 2001: Understanding Gestalt Cues and Ecological Statistics Using A Database of Human Segmented Images
* 2002: Spectral Partitioning with Indefinite Kernels Using the Nyström Extension
* 2003: Learning Affinity Functions for Image Segmentation: Combining Patch-Based and Gradient-Based Approaches
* 2004: Learning to detect natural image boundaries using local brightness, color, and texture cues
* 2004: Spectral Grouping Using the Nystrom Method
* 2005: Scale-Invariant Contour Completion Using Conditional Random Fields
* 2006: Figure/Ground Assignment in Natural Images
* 2007: Berkeley Segmentation Dataset and Benchmark, The
* 2008: Learning Probabilistic Models for Contour Completion in Natural Images
* 2008: Using contours to detect and localize junctions in natural images
* 2009: Discriminative Models for Multi-Class Object Layout
* 2009: From contours to regions: An empirical evaluation
* 2010: Covering trees and lower-bounds on quadratic assignment
* 2010: Discriminative models for static human-object interactions
* 2010: Layered object detection for multi-class segmentation
* 2010: Multiresolution Models for Object Detection
* 2011: Contour Detection and Hierarchical Image Segmentation
* 2011: Discriminative Models for Multi-Class Object Layout
* 2011: Globally-optimal greedy algorithms for tracking a variable number of objects
* 2011: Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation
* 2011: Shape-based pedestrian parsing
* 2012: Do We Need More Training Data or Better Models for Object Detection?
* 2012: Fast Planar Correlation Clustering for Image Segmentation
* 2012: Layered Object Models for Image Segmentation
* 2012: Patch Mosaic for Fast Motion Deblurring
* 2013: Accurate motion deblurring using camera motion tracking and scene depth
* 2013: Detecting Dynamic Objects with Multi-view Background Subtraction
* 2014: Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model
* 2014: Parsing Occluded People
* 2015: Hierarchical Planar Correlation Clustering for Cell Segmentation
* 2015: Learning Optimal Parameters For Multi-target Tracking
* 2015: Oriented edge forests for boundary detection
* 2015: Using Segmentation to Predict the Absence of Occluded Parts
* 2016: Do We Need More Training Data?
* 2016: Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
* 2016: Lifting GIS maps into strong geometric context for scene understanding
* 2016: Photo Aesthetics Ranking Network with Attributes and Content Adaptation
* 2016: Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification
* 2017: Cluster-Wise Ratio Tests for Fast Camera Localization
* 2017: Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions
* 2017: Low-Rank Bilinear Pooling for Fine-Grained Classification
* 2017: Space-Time Localization and Mapping
* 2018: Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction
* 2018: Recurrent Pixel Embedding for Instance Grouping
* 2018: Recurrent Scene Parsing with Perspective Understanding in the Loop
* 2018: Structured Triplet Learning with POS-Tag Guided Attention for Visual Question Answering
* 2019: 3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers
* 2019: Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries: PERSIANN-cGAN
* 2019: Cross-Domain Image Matching with Deep Feature Maps
* 2019: Modularized Textual Grounding for Counterfactual Resilience
* 2019: Pixel-Wise Attentional Gating for Scene Parsing
* 2020: Celeganser: Automated Analysis of Nematode Morphology and Age
* 2020: Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
* 2021: Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias
Includes: Fowlkes, C.C.[Charless C.] Fowlkes, C.C.
57 for Fowlkes, C.C.
Fowlkes, E.B.
* 1983: Method for Comparing Two Hierarchical Clusterings, A
Fowlkes, J.B.
* 2002: Rapid elastic image registration for 3-D ultrasound